#ITC Is this last leg of downside or game over?🙆
Key points : 👇
~ RSI breakout retest in weekly chart
~ HH &HL pattern ,Price action still bullish
~ Huge support as per ratio chart.
#CNXFMCG #Nifty

Gather round, Gentle Readers. It is time I tell the story of the worst decision I ever made in an office. Some of you have heard this. Some have not. Whatever you do in your office today, this week, the rest of this year, you can console yourself by recalling this tale.

A long time ago, I was a talent agent. I worked for a woman named Susan Smith, who had her own small boutique agency. She was known for three things:

1. She had fantastic taste in clients. If there is someone you admire, odds are good that at some point, she was their agent,

2. She could negotiate a deal like few who have ever trod the earth. Casting would give her all the money they had budgeted for that part, plus a little more, plus promising to get her dog Barnaby groomed. She was magnificent to watch.

3. She was insane.

I'm sure you're thinking, "Quinn, it's the entertainment industry, they are all insane." Yes, many are. So consider this; if you told someone you worked for Susan, people who worked for insane people would look and you and whisper, "I hear she's insane."

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

This day was inevitable. Indian Muslims always lived in La La Land. They bad mouthed real well wishers & slept with the enemy who never considered them as part of them. In Gulf, Indian Muslims were busy with Javed Akhtar & Sonu Nigam. Never interacted with South Asian diaspora

Now when Indian Muslims are thrown to wolves it’s Pakistani & Bangladeshi Muslims with whom they kept distance are the only ones feeling their pain. None of the people who they invited for Eid Milan. Qawali & Mushaira are there for them. Such people invoke wrath upon themselves

Indian Muslims never spoke for Kashmiri Muslims. Distancing from separatist was understandable but we never even bothered to highlight their human rights violation & rapes carried out by forces. We could have sent them humanitarian help we didn’t. Our silence made us complicit.

When Sania Mirza married Shoaib Malik it was something legal. A Muslim married another Muslim. Entire Hindutva media went after her. They launched a witch-hunt for months. No Indian Muslim stood by her. All were silent. Now days come when Muslims are arrested for marrying a Hindu

Indian Muslims particularly the elite downplayed communalism in India by saying it will pass or Hindu majority is good. Fringe are bad. They misguiding others. Muslims were always others. Indians were happy to see Muslims sing & dance & eat their food but never considered as own

Ok, here is a thread for you.
What happens when you have:
Netflix
Apple
Amazon
WarnerMedia +
Disney+
SonyCrackle (Reboot)
Verizon All Access (after they buy CBS/Viacom)
UniversalSkyMedia
By 2021
Answer? Internet Slows To A Craw and Dies.
Why?
Bandwidth.

Netflix's gets 35% of all internet traffic.
Now we all know Apple Coming to Netflix Corner.
We know that WarnerMedia Planning One
We Know about Disney+
Now how will the net handle 8 Streaming Platforms all at once?
Answer - IT CANT.

But Novid, the speed, the 4K the all everything?
NOOOOO BUDDY.
Even if you could do it and even if AWS ran six million clouds, The Net Will still slow to a crawl. 35%, goes to nearly 90% if any of the 8 or all of the 8 eat at netflix's numbers.

Oh, they wouldn't be running at once.
FOOL. You forget how bad things were when game of thrones season premieres came around. HBO SERVERS FALL DOWN GO BOOM!

Now see if a season like 2021 come around and they air shows on a same day. It gets crazy. AT&T and others gonna realize they cant build out forever. Something will give and it might be your entertainment consumption big time.